Psychometric Properties of the Emotional Exhaustion Scale (ECE) in Chilean Higher Education Students

The main objective of this study was to estimate the psychometric properties of the Emotional Fatigue Scale (ECE) in a sample of 1308 Chilean university students and confirm the unifactorial structure of the scale. Exploratory and confirmatory factor analyses were carried out. The ECE assessment had an internal consistency of 0.893 (Cronbach’s Alpha). An exploratory factor analysis with Varimax rotation and a confirmatory analysis were performed, obtaining the factor that explains 52.3% of the variance. The results indicated that the ECE has adequate psychometric properties for use with higher education students in Chile. The ECE scale has good psychometric properties to be applied in the Chilean university context. Its usage may be very relevant to contribute to higher education institutions to emphasize students’ mental health and prevent possible severe pathologies in future professionals. It is suggested to use the ECE scale together with the EES-Int, which is the only interpretation table for this instrument.

Exploratory Study of the Attitudinal Effects of Employee Shareholding in Morocco

The authors conducted an empirical study in the form of a questionnaire distributed to Moroccan employees. It was completed by 217 employees and relates to the year 2020. The data collected was analyzed by the method of structural equations. The authors continued the methodology of Anderson and Gerbing. The two authors proposed a two-step analysis method. This first involves performing a confirmatory analysis of the measurement model to improve its convergent validity and discriminant validity. The results of the questionnaire survey show that there is a positive and strong link between employee share ownership on the one hand and work motivation and organizational involvement on the other. Also, the tests carried out show that employee share ownership contributes significantly to reducing the departure intention.

Polish adaptation The State Self-Forgiveeness Scale

The aim of the presented study was to Polish version of The State Self-Forgiveness Scale (Wohl i in., 2008) – Skala Epizodycznego Przebaczenia Sobie. The scale is used to assess self-forgiveness after wrongdoing towards self and other persons. The scale consists of 17 items and two subscales describing feelings and actions as well as beliefs towards oneself, which are to lead to self-forgiveness. Four hundred forty four (Mage =27.8, SD=9.9) participated in the study. Both exploratory factor analysis and confirmatory analysis were performed to determine the psychometric properties (RMSEA 0,048, GFI 0,924, PCLOSE 0,556). In order to determine the internal consistency was calculated by Cronbach’s alpha (0,80-0,86). The internal validity was assessed by Heartland Forgiveness Scale. The obtained results showed that the Polish version of The State Self-forgiveness Scale as tool with good psychometric properties and to recommend it for the assessment of self-forgiveness both in research.

Measuring Perceptions and Preferences for Meritocracy

Economic and social inequalities have generated growing concerns and crises across contemporary societies. One of the mechanisms proposed by social sciences to explain the persistence of inequality is the belief in meritocracy, which would legitimize economic disparities based on differences in effort and talent. Despite its wide use as a concept, empirical research on meritocracy is relatively novel and characterized by diverse conceptualizations and measures that make the findings and their interpretation rather inconsistent. Most of the studies in the area have relied upon secondary data to operationalize meritocracy, with a wide variation in the use and interpretation of the same survey items. Taking into account the extant literature that uses measures of meritocracy, this article identifies a series of drawbacks and inconsistencies within and between studies regarding the conceptualization and operationalization of meritocracy beliefs. Based on this critical analysis, we propose a conceptual framework for measuring perceptions and preferences for meritocracy and non-meritocracy, which is then tested through confirmatory analysis using ISSP (International Social Survey Programme) data as well as a novel scale designed with this purpose (N=2,141). Our results support the conceptual framework and its operationalizarion, although with a better fit for the proposed scale than for the ISSP survey. Our discussion highlights the importance of considering different dimensions in order to advance in the study of meritocracy.

PENGARUH KECERDASAN EMOSIONAL DAN LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN MELALUI KEPUASAN KERJA SEBAGAI VARIABEL INTERVENING

The Business sector is facing intense competition around the world so that organizations recognize the importance of human resources as a competitive advantage. For this reason, the factors that have an influence on employee performance are discussed in this study including emotional intelligence, work environment and job satisfaction. This study aims to analyse the effect of emotional intelligence and work environment on employee performance through job satisfaction as intervening variable at PT. Indomaju Textindo Kudus. The quantitative method used in this research is using AMOS confirmatory analysis followed by Structural Equation Modeling (SEM). This research uses non probability sampling method (accidental sampling) in order to collect data. Primary data is used in the study by distributing 150 sample questionnaires to production employees at PT. Indomaju Textindo. The findings in this study are that emotional intelligence and work environment have a direct effect on employee performance. From the research results it can be concluded to improve the performance of employees at PT. Indomaju Textindo can be pursued by maintaining and improving the emotional intelligence of employees and a safe and comfortable work environment.

STRATEGIC RESOURCES AND PROCESSES IN PROPERTY INDUSTRY: UNCOVERING NEW ANALYSIS APPROACH FOR BUSINESS DEVELOPMENT & ENTREPRENEURIAL DECISION

The “Strategic Resources and Processes in Property Industry: Uncovering New Analysis Approach For Business Development & Entrepreneurial Decision” discusses about the strategic resources and strategic process that works in the Property business industry. From the management resources and business processes that will determine the company's performance. What factors are affecting the company performance the most? What are the resources of the business? The research for the data using the quantitative analysis with a purposive sampling method and continues by confirmatory analysis from an industry expert. The result of the data shows that the ready to sell property is the most strategic resource in the property sales industry that boosts up the company’s performance. Additionally, advertising is one of the most effective way to succeed in the selling property.

Psi Performance as a Function of Demographic and Personality Factors in Smartphone-Based Tests

Objective: We set out to gain a better understanding of human psychic or “psi” functioning by using a smartphone-based app to gather data from thousands of participants. Our expectations were that psi performance would often be revealed to be in the direction opposite to the participants’ conscious intentions (“expectation-opposing”; previously called “psi-missing”), and that gender and psi belief would be related to performance. Method:We created and launched three iOS-based tasks, available from 2017 to 2020, related to micro-psychokinesis (the ability to mentally influence a random number generator) and precognition (the ability to predict future randomly selected events). We statistically analyzed data from more than 2,613 unique logins and 995,995 contributed trials using null hypothesis significance testing as well as a pre-registered confirmatory analysis. Results: Our expectations were confirmed, and we discovered additional effects post-hoc. Our key findings were: 1) significant expectation-opposing effects, with a confirmatory pre-registered replication of a clear expectation-opposing effect on a micro-pk task, 2) performance correlated with psi belief on all three tasks, 3) performance on two of the three tasks related to gender, 4) men and women apparently used different strategies to perform micro-pk and precognition tasks. Conclusions: We describe our recommendations for future attempts to better understand performance on forced-choice psi tasks. The mnemonic for this strategy is SEARCH: Small effects, Early and exploratory, Accrue data, Recognize diversity in approach, Characterize rather than impose, and Hone in on big results.

Rapid and accurate electrochemical sensor for food allergen detection in complex foods

Food allergies are estimated to affect about 2–5% of adults and 6–8% of children, globally. Currently, the most effective strategy for food allergy management is stringent avoidance of the offending allergen. Unlike other major food allergens, soy is uniquely challenging to avoid due to its prevalence and insidiousness in a wide variety of foods, such as infant formulas. Recently, we demonstrated a simple, accurate, and consumer-friendly sensor using molecularly imprinted polymers (MIPs) for rapid detection of soy allergenic tracers in complex food matrices at clinically relevant levels. In this work, we build on these findings by subjecting MIP-based soy allergen sensors to test trials in 42 different food products, representing over 300 ingredients. Foods were selected based on their compositional complexity to capture a wide range of preparatory methods and processing conditions. In each case, the Allergy Amulet correctly reported on the presence or absence of soy allergen tracer in investigated samples and were subjected to immunoassay confirmatory analysis. The outcome of this research will help resolve persistent difficulties with commercial technologies in detecting allergenic tracers with minimal cross-interference in foods, and will give those with soy allergies the ability to easily, rapidly, and accurately identify and avoid foods with soy allergens.

Multiplexity analysis of networks using multigraph representations

Multivariate networks comprising several compositional and structural variables can be represented as multigraphs by various forms of aggregations based on vertex attributes. We propose a framework to perform exploratory and confirmatory multiplexity analysis of aggregated multigraphs in order to find relevant associations between vertex and edge attributes. The exploration is performed by comparing frequencies of the different edges within and between aggregated vertex categories, while the confirmatory analysis is performed using derived complexity or multiplexity statistics under different random multigraph models. These statistics are defined by the distribution of edge multiplicities and provide information on the covariation and dependencies of different edges given vertex attributes. The presented approach highlights the need to further analyse and model structural dependencies with respect to edge entrainment. We illustrate the approach by applying it on a well known multivariate network dataset which has previously been analysed in the context of multiplexity.